Years ago I have used a trick which did essentially the same service as binning, but avoiding some of its drawbacks. For most purposes, a suitable Gaussian apodization does the same trick, for example. Of course, I agree that Mnova (or any other NMR software) should offer the binning for completeness, though as a User, I would hardly ever use it. As your own figure above shows, the intensity errors in the different bins are not much better than when doing no binning at all. It has several weak points, the most severe being that when a line is close to the edge of a bin, it gets split artificially in two sections which end up in different bins. 0.01 ppm in this case) bins, so that integral (area) of each bin represents a new point in the binned spectrumĪs seen in the figure above, binning clearly removes the effect of chemical shift changes but of course, at the cost of a significant reduction in data resolution.Īs you probably know, I am no fan of the concept of binning. Basically, what I have applied to all spectra is the well-known binning operation which consists of dividing each spectrum in equally sized (e.g. Instead of using the Peak Integrals tool in the Data Analysis module, I will show now a complementary procedure. Nevertheless, integration is a very simple solution as can be appreciated in the figure below. As described in my former post, this could be circumvented in some extent by using parabolic interpolation or peak searching of the maximum in a predefined box. If peak heights are determined at a fixed position, this might introduce appreciable errors in the posteriori quantitative analysis (e.g. It shows a triplet and as you can see, some minor peaks shifts are present from spectrum to spectrum First, consider the following experiment depicted in the figure below.
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